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cartpole-v1-advantage-actor-critic-a2c-keras's Introduction

CartPole-v1 Advantage Actor Critic (A2C) in Keras

CartPole-v1 is an environment presented by OpenAI Gym. In this repository we have implemeted Advantage Actor Critic (A2C) algorithm in Keras for building an agent to solve CartPole-v1 environment.

Commands to run

  • To train the model

     python train_model.py

  • To test the model

    python test_model.py 'path_of_saved_model_weights' (without quotes)

  • To test agent with our trained weights

     python test_model.py saved_model/500.0.h5

Results

  • Output of agent taking random actions

    Episode: 0

  • Output of our agent at Episode: 85 with score 500.0

    Episode: 85, Score:500.0

cartpole-v1-advantage-actor-critic-a2c-keras's People

Contributors

nitish-kalan avatar

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